Papers with neural matching architecture
Noise Contrastive Estimation-based Matching Framework for Low-Resource Security Attack Pattern Recognition (2024.findings-eacl)
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| Challenge: | Techniques, Tactics and Procedures (TTPs) mapping is a difficult task for CTI extraction . conventional learning approaches target the problem in the classical multiclass/label classification setting . |
| Approach: | They propose a neural matching architecture that incorporates a sampling-based learn-to-compare mechanism to facilitate the learning process. |
| Outcome: | The proposed model reduces the complexity of competing over large label space. |